Patients Can Enroll in Cancer Trials Through NHS App
NHS App now allows patients to enroll in cancer trials. This aims to improve treatment access and outcomes. π±ποΈ
February 4, 2026
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Scottish GPs Highlight Need for Improved IT Systems
Scottish GPs report inadequate IT systems, impacting patient care. RCGP urges government to prioritize modern technology for efficiency. π»π©Ί
February 4, 2026
Diagnostic performance of convolutional neural network-based AI in detecting oral squamous cell carcinoma: a meta-analysis.
AI in Oral Cancer Detection: CNNs show 94% sensitivity & specificity! π High diagnostic potential, but more studies needed. π¦·
February 4, 2026
Use of Automation Technologies and Data Mining in Speech Recognition for Autism.
Automation in ASD Speech Recognition: Enhancing Early Detection with AI Tools π€π
February 3, 2026
Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation.
Machine learning enhances heart transplant outcomes: 90-day graft failure risk stratification tool shows AUC 0.67 πβ€οΈ
February 3, 2026
Future trends and challenges in occupational therapy: Insights from a Delphi study.
Future trends in occupational therapy: 36 experts highlight tech integration, digital literacy, and ethical AI concerns. ππ§
February 3, 2026
Classification of angioedema types using decision tree modeling.
Machine learning enhances angioedema diagnosis, achieving 94% accuracy for hereditary types. π€π
February 2, 2026
Northamptonshire’s Shared Care Record Project Expected to Save Over Β£1 Million
Northamptonshire’s shared care record project aims to save over Β£1 million by improving care coordination and access to information. π°π
February 2, 2026
[Reconstruction of superficial organs: a leap from structural restoration to functional rehabilitation].
Revolutionary advances in superficial organ reconstruction: merging surgical techniques with AI and 3D printing for enhanced functionality. π§¬π¬
February 2, 2026
Machine learning mortality prediction model for cyclosporine therapy in pediatric aplastic anemia.
Machine learning predicts mortality in pediatric aplastic anemia with 83.4% AUC. Key predictors include reticulocyte count and platelet count. ππΆ
February 2, 2026